CN111243292A - Method for automatically detecting motor vehicle jam by intelligent traffic camera - Google Patents
Method for automatically detecting motor vehicle jam by intelligent traffic camera Download PDFInfo
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- CN111243292A CN111243292A CN202010033793.2A CN202010033793A CN111243292A CN 111243292 A CN111243292 A CN 111243292A CN 202010033793 A CN202010033793 A CN 202010033793A CN 111243292 A CN111243292 A CN 111243292A
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- vehicle
- capturing
- motor vehicle
- intelligent traffic
- automatically detecting
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
Abstract
The invention provides a method for automatically detecting motor vehicle jam by an intelligent traffic camera, which comprises the following steps: s1, capturing a first photo when an automobile enters a capturing area; s2, recording the motion track of the vehicle; s3, judging whether the track of the vehicle changes or not; A1. if so, go to step S4; A2. no change, proceed to step S8; s4, acquiring coordinates A, B of front and rear vehicles of the vehicle after the vehicle changes the track; s5, judging whether the distance between A, B is smaller than a threshold value; B1. if so, illegal operation is carried out, and the step S6 is carried out; B2. if yes, go to step S8; s6, capturing a second photo; s7, capturing a third photo when the vehicle leaves the capturing area; and S8, finishing. The method for automatically detecting the motor vehicle jamming by the intelligent traffic camera can solve the problem that the current camera cannot effectively take a snapshot to prove the jamming illegal behavior.
Description
Technical Field
The invention belongs to the technical field of monitoring equipment, and particularly relates to a method for automatically detecting motor vehicle jam by an intelligent traffic camera.
Background
With the development of electronic technology in the monitoring field, the design directions of various products are developed towards intellectualization, and the intelligent traffic monitoring system is widely applied in the field of intelligent traffic, according to the fifty-third law of road traffic safety, when a motor vehicle in front stops, lines up and runs or slowly runs when meeting the motor vehicle, vehicles are overtaken by means of roads or occupy opposite lanes, and vehicles are alternately waited to belong to illegal congestion behaviors, so that an intelligent automatic detection motor vehicle congestion violation behavior is urgently needed to be quickly positioned and processed, an evidence of motor vehicle congestion violation is provided, and the motor vehicle is promoted to better comply with the traffic safety law.
Disclosure of Invention
In view of the above, the present invention aims to provide a method for automatically detecting a vehicle jam by an intelligent traffic camera, so as to solve the problem that the current camera cannot monitor and capture the illegal act of the jam in real time.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
an automatic detection method for motor vehicle jam by an intelligent traffic camera comprises the following steps:
s1, capturing a first photo when an automobile enters a capturing area;
s2, recording the motion track of the vehicle;
s3, judging whether the track of the vehicle changes or not;
A1. if so, go to step S4;
A2. no change, proceed to step S8;
s4, acquiring coordinates A, B of front and rear vehicles of the vehicle after the vehicle changes the track;
s5, judging whether the distance between A, B is smaller than a threshold value;
B1. if so, illegal operation is carried out, and the step S6 is carried out;
B2. if yes, go to step S8;
s6, capturing a second photo;
s7, capturing a third photo when the vehicle leaves the capturing area;
and S8, finishing.
Further, in step S1, the capture area is an area covered by the smart camera.
Further, the method for determining the track change in step S3 is to touch the left and right lane lines by the vehicle.
Further, in step S5, the threshold is: congestion threshold value lane width/100.
Compared with the prior art, the invention has the following advantages:
(1) the method for automatically detecting the motor vehicle jamming by the intelligent traffic camera can solve the problem that the current camera cannot effectively take a snapshot to prove the jamming illegal behavior.
(2) The method for automatically detecting the motor vehicle jam by the intelligent traffic camera has a simple structure, complete data snapshot can be completed without adding other equipment, and the method is simple, effective and overall
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the invention without limitation. In the drawings:
fig. 1 is an overall flowchart according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientation or positional relationship indicated in the drawings, which are merely for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be construed as limiting the invention. Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the invention, the meaning of "a plurality" is two or more unless otherwise specified.
In the description of the invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted", "connected" and "connected" are to be construed broadly, e.g. as being fixed or detachable or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the creation of the present invention can be understood by those of ordinary skill in the art through specific situations.
The invention will be described in detail with reference to the following embodiments with reference to the attached drawings.
An automatic detection method for motor vehicle jam by an intelligent traffic camera comprises the following steps:
s1, capturing a first photo when an automobile enters a capturing area;
s2, recording the motion track of the vehicle;
s3, judging whether the track of the vehicle changes or not;
A1. if so, go to step S4;
A2. no change, proceed to step S8;
s4, acquiring coordinates A, B of front and rear vehicles of the vehicle after the vehicle changes the track;
s5, judging whether the distance between A, B is smaller than a threshold value;
B1. if so, illegal operation is carried out, and the step S6 is carried out;
B2. if yes, go to step S8;
s6, capturing a second photo;
s7, capturing a third photo when the vehicle leaves the capturing area;
and S8, finishing.
In step S1, the capture area is an area covered by the smart camera.
The method for determining the change of the trajectory in step S3 is to touch the left and right lane lines by the vehicle.
In step S5, the threshold is: congestion threshold value lane width/100.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the invention, so that any modifications, equivalents, improvements and the like, which are within the spirit and principle of the present invention, should be included in the scope of the present invention.
Claims (4)
1. An automatic detection method for motor vehicle jam by an intelligent traffic camera is characterized by comprising the following steps: the method comprises the following steps:
s1, capturing a first photo when an automobile enters a capturing area;
s2, recording the motion track of the vehicle;
s3, judging whether the track of the vehicle changes or not;
A1. if so, go to step S4;
A2. no change, proceed to step S8;
s4, acquiring coordinates A, B of front and rear vehicles of the vehicle after the vehicle changes the track;
s5, judging whether the distance between A, B is smaller than a threshold value;
B1. if so, illegal operation is carried out, and the step S6 is carried out;
B2. if yes, go to step S8;
s6, capturing a second photo;
s7, capturing a third photo when the vehicle leaves the capturing area;
and S8, finishing.
2. The method for automatically detecting the motor vehicle jam by the intelligent traffic camera according to claim 1, characterized in that: in step S1, the capture area is an area covered by the smart camera.
3. The method for automatically detecting the motor vehicle jam by the intelligent traffic camera according to claim 1, characterized in that: the method for determining the change of the trajectory in step S3 is to touch the left and right lane lines by the vehicle.
4. The method for automatically detecting the motor vehicle jam by the intelligent traffic camera according to claim 1, characterized in that: in step S5, the threshold is: congestion threshold value lane width/100.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010033793.2A CN111243292A (en) | 2020-01-13 | 2020-01-13 | Method for automatically detecting motor vehicle jam by intelligent traffic camera |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010033793.2A CN111243292A (en) | 2020-01-13 | 2020-01-13 | Method for automatically detecting motor vehicle jam by intelligent traffic camera |
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| CN111243292A true CN111243292A (en) | 2020-06-05 |
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| CN202010033793.2A Pending CN111243292A (en) | 2020-01-13 | 2020-01-13 | Method for automatically detecting motor vehicle jam by intelligent traffic camera |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112001319A (en) * | 2020-08-25 | 2020-11-27 | 天地伟业技术有限公司 | Method for filtering repeated license plates of illegal ball-stopping machine |
| CN113643534A (en) * | 2021-07-29 | 2021-11-12 | 北京万集科技股份有限公司 | Traffic control method and equipment |
| CN114078324A (en) * | 2020-08-19 | 2022-02-22 | 北京万集科技股份有限公司 | Vehicle jamming behavior detection method and device, road side equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114078324A (en) * | 2020-08-19 | 2022-02-22 | 北京万集科技股份有限公司 | Vehicle jamming behavior detection method and device, road side equipment and storage medium |
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Application publication date: 20200605 |